The early baggage screening systems were driven via classification [1]}, [2]}, [3]}, [4]}, segmentation [5]}, [6]}, [7]}, [8]} and detection [9]}, [10]}, [11]}, [12]}, [13]} approaches to identify potential threats and smuggled items. Here, the work of Bastan et al. [14]} is appreciable, which identifies the suspicious and illegal items within the multi-view X-ray imagery through fused SIFT and SPIN driven SVM model. Similarly, SURF [5]}, and FAST-SURF [16]} have also been used with the Bag of Words [17]} to identify threatening items from the security X-ray imagery. Moreover, approaches like adapted implicit shape model [18]} and adaptive sparse representation [19]} were also commendable for screening suspicious objects from the X-ray scans.
